1) I. A. H. S. / A. I. H. S.

Abstract

A simple method is used to study the response of runoff in the Sahel to climate change. The statistical characteristics of rainfall are calculated over the western part of the Sahel for the period 1961–1990, using the BADOPLU network. Daily rainfall is simulated using a Markov process with Weibull distribution for rainfall depths. Runoff is modelled using a conceptual SCS model and the curve numbers are calculated for West Africa. Climate change is provided by simulations using the Arpège GCM (Scenario A1B), and a perturbation method is used on the parameters which describe the rainfall. Changes in rainfall are assumed to occur through increases in frequency, not intensity. Using Arpège, runoff is mainly found to increase, in depth and in number of events, by the end of the 21st century. Changes in evaporation and land use are not included in the analysis. The impact of this 21st century potential climate change (rainfall) on the runoff is found to be of the same magnitude as the impact of changes in land use.     

基于网络形态的街道空间环境与“两抢一盗”犯罪的关系研究——以HS市原DP区为例

城市街道网络是承载人们日常行为的空间载体,街道网络及其中人的日常行为共同构成了主要的街道网络空间环境,并影响着犯罪行为的发生。既有研究表明街道空间中多发“两抢一盗”侵财类案件,并且街道网络形态和日常行为主体与犯罪存在联系,但对这一问题的深入探究较少。本文基于HS市原DP区的派出所辖区单元,使用路网数据、人口统计数据、手机信令数据等相关资料,采用空间分析和统计分析方法,对街道网络的几何形态和拓扑形态、动态人口和静态人口等因素与犯罪分布的关系展开分析,尝试探索街道网络空间环境对“两抢一盗”犯罪的影响。结果表明,街道网络空间环境中影响盗窃和两抢犯罪的要素存在较大差异。“X形单元”式街道网络、路网密度、低速交通的路网渗透性、静态人口密度和动态人口密度均对盗窃犯罪产生重要影响,与两抢犯罪相关的仅有“T形单元”式街道网络、静态人口中的实际居住户籍人员和外来人员密度,街道网络形态没有表现出与两抢犯罪的显著相关。最后提出,由于街道网络的通达性和危险性往往并存,如何通过调控或改善整体的街道网络空间环境来尽可能减少犯罪风险,是未来规划建设安全的街道网络空间需要思考的话题。     

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战略耦合的研究脉络与问题

在回顾经济地理学中较为前沿的战略耦合概念的起源、发展与研究现状的基础上,对战略耦合研究的优点与问题展开评述,认为当前研究在战略耦合模式的探讨中,主要基于经验总结而缺乏对影响变量,特别是空间变量的阐述,存在一定的模糊性。为理解该问题的根源,追溯了全球生产网络和全球价值链两个学派的争论和最新进展。在认可全球价值链理论解释力的同时,认为当前全球生产网络2.0版本的研究框架仍然没有解决模糊性的问题,而且全球生产网络的分析框架主要侧重于主导企业视角来构建战略耦合的发生机制,忽略了后发地区和企业的主动性。因此,借鉴传统经济地理学研究,充分考虑主导企业和后发地区的行为逻辑,提出经济活动的空间粘性和区域的区位优势这两个变量,重构了战略耦合的分析框架,并进行理论阐述。该项理论构建有助于更好地厘清战略耦合的发生机制,帮助发展中国家和地区判读发展机遇,确立产业发展与升级战略。     

可移动中继节点在传感器网络中的节能应用

介绍了一种新颖的静态传感器网络实现方法，它利用可移动的中继节点来收集静态传感器网络的数据，有效的节约各传感器节点的能源，延长整个传感器网络的有效工作时间。也可以对该方法进行适当的改进，应用到某些实时性要求较高的场合中去。然后介绍了应用该原理实现的一个通讯协议。     

基于复杂性理论的城市经济网络研究进展与展望

城市经济网络的研究借鉴了复杂性理论的分析方法,能更细致地刻画城市网络的空间格局。现有的大量研究仍沿袭城市体系空间结构的思路,注重城市的竞争和位序关系以及城市网络的中心性,未能充分体现城市经济网络和城市体系空间格局的差异。本文通过对基本文献的梳理,从复杂性理论的视角将城市经济网络研究的发展历程分为3个阶段:20世纪40年代前的基础理论构建阶段;50-90年代的发展创新突破阶段以及21世纪以来的多元繁荣发展阶段。目前,城市经济网络研究的热点领域包括城市经济的拓扑结构和空间拟合、全球城市联系的范围测算和质量评价;城市经济网络结构的动力学影响以及城市经济网络的安全管控和功能优化。未来要关注大数据时代的数据整合和挖掘,构建城市经济网络的整体研究框架。     

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CASS在平度市鑫汇金矿勘测中的应用

CASS在测量中得到广泛应用,特别是CASS配合Autolisp语言,还可以编写一些常用小程序,使测量计算和作图过程得到大量简化。地质坑道测量在矿山测绘中占有重要地位,可以将CASS与全站仪配合,在测量坑道过程中,进行坑道平面图绘制,指导井下开矿,提高工作效率。还可以利用CASS计算坑道挖掘土方量,这样便于与施工方进行工程量结算及处理井下越界开采纠纷问题。     

中国城市网络的空间组织及其复杂性结构特征

全球化、信息化与快速城市化深刻影响了中国的城市体系,多区位企业组织所形成的城市网络正处于日益复杂的空间嬗变过程.基于2010年企业名录的总部—分支机构型关联数据,研究构建了330×330的地级以上城市网络连接关系,并运用复杂网络分析工具来探索中国城市网络的空间组织特征.研究发现:①中国的城市网络联系呈现以“北京—上海—广深—成都”为核心的菱形空间结构,不同等级的网络流强度具有显著的空间异质性,城市网络的空间组织是一个择优性和地理邻近性复杂作用的过程;②中国城市网络正处于一个简单随机向复杂有序结构的转化期,整体大尺度的网络结构还有待形成;③中国城市网络整体表现出明显的小世界网络效应;④中国城市的二值点度网络为明显的异配性连接特征,而加权强度网络连接则一定程度上表现出“富人圈”的现象;⑤中国城市网络的层级性并不明显,城市网络的点度和强度的关系呈非线性增加特征.     

The trade network of the Belt and Road Initiative and its topological relationship to the global trade network

Unimpeded trade is one of the cooperation priorities in the Belt and Road Initiative proposed by China. On 15 May 2017, the Joint Communique of the Leaders Roundtable of the Belt and Road Forum for International Cooperation reaffirmed the participants’ shared commitment to build an open economy and ensure free and inclusive trade. The Belt and Road Initiative (BRI) is not only China's new action to drive its open and global development, but also a platform for an increasing number of countries to explore free and inclusive trade and promote a universal, rule-based, open, non-discriminatory, and equitable multilateral trade system. It is therefore important to examine the topological relationship between the BRI and global trade networks. More specifically, this article first analyzes the community structure of trade networks using a community detection algorithm, and then estimates the topological relationship between different trade communities. The findings of this article are as follows. First, this research identified three trade communities and two sub-communities in the BRI trade network, in which China is the core, Russia is the sub-core of the biggest trade community, and India, United Arab Emirates, and Saudi Arabia are cores of the second trade community (South Asia-West Asia). Second, it identified five trade communities in the global trade network, centred on China, USA, Russia, India-United Arab Emirates, and Germany- Netherlands-France-Britain and other European developed countries. Third, the topological analysis indicated that in the global trade network, most BRI countries are attracted by the core nodes of the BRI regions, such as the China, Russia and India-United Arab Emirates core nodes, and have strong trade contacts with BRI countries. Most Central-East European countries are mainly attracted by Germany-Netherlands-France-Britain and other developed European countries with a low penetration of BRI trade. Although some Southeast Asian countries are incorporated into the Asia-Australia-South Africa community with China as the core, they still need to strengthen trade linkages with BRI countries.